Univrsity Of Tehran Press Journal of Information Technology Management 2980-7972 10 4 2018 12 01 Framework for Prioritizing Solutions in Overcoming Data Quality Problems Using Analytic Hierarchy Process (AHP) 27 40 72759 10.22059/jitm.2019.274888.2333 EN Imelda Doharta Aritonang Department of Information System, Faculty of Computer Science, Universitas Indonesia, Depok, West Java. Achmad Nizar Nizar Hidayanto Prof., Department of Information System, Faculty of Computer Science, Universitas Indonesia, Depok, West Java. Nur Fitriah Ayuning Budi MSc., Department of Information System, Faculty of Computer Science, Universitas Indonesia, Depok, West Java. Rahmat M. Samik Ibrahim MSc., Department of Information System, Faculty of Computer Science, Universitas Indonesia, Depok, West Java. Solikin Solikin MSc., STMIK BIna Insani, Bekasi, Jawa Barat. Journal Article 2019 01 28 The Central Statistics Agency (BPS) is a government institution that has the authority to carry out statistical activities in the form of censuses and surveys, to produce statistical data needed by the government, the private sector and the general public, as a reference in planning, monitoring, and evaluation of development results. Therefore, providing quality statistical data is very decisive because it will have an impact on the effectiveness of decision making. This paper aims to develop a framework to determine priority of solutions in overcoming data quality problems using the Analytic Hierarchy Process (AHP). The framework is built by conducting interviews and Focus Group Discussion (FGD) on experts to get the interrelationship between problems and solutions. The model that has been built is then tested in a case study, namely the Central Jakarta Central Bureau of Statistics (BPS). The results of the study indicate that the proposed model can be used to formulate solutions to data problems in BPS. https://jitm.ut.ac.ir/article_72759_38e5f7689bf9a665b2dc54f471bc159f.pdf